
import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
							from transformers.pipelines.conversational import Conversation


lowerCamelCase_    :			List[Any]    =	logging.get_logger(__name__)

lowerCamelCase_    :			Union[str, Any]    =	{"""tokenizer_file""": """tokenizer.json"""}

lowerCamelCase_    :			str    =	{
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}

class 							_UpperCamelCase					(       _A	):






			'''simple docstring'''

			__UpperCamelCase   :    Optional[int]          =			VOCAB_FILES_NAMES
			__UpperCamelCase   :    List[Any]          =			PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase   :    int          =			["""input_ids""", """attention_mask"""]
			__UpperCamelCase   :    List[Any]          =			None

			def __init__(							self			:							Dict    ,						snake_case_			:							Optional[Any]=None    ,						snake_case_			:							str=None    ,						snake_case_			:							Any=None    ,						snake_case_			:							Optional[int]="<unk>"    ,						snake_case_			:							Dict="<s>"    ,						snake_case_			:							int="</s>"    ,						snake_case_			:							Union[str, Any]="<pad>"    ,						snake_case_			:							List[Any]=False    ,						snake_case_			:							Tuple=False    ,						**snake_case_			:							Optional[int]    ,						):
							super().__init__(
							    snake_case_    ,						snake_case_    ,						tokenizer_file=snake_case_    ,						unk_token=snake_case_    ,						bos_token=snake_case_    ,						eos_token=snake_case_    ,						pad_token=snake_case_    ,						add_prefix_space=snake_case_    ,						clean_up_tokenization_spaces=snake_case_    ,						**snake_case_    ,						)
							UpperCamelCase_:				str						=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
							if pre_tok_state.get("""add_prefix_space"""    ,						snake_case_   ) != add_prefix_space:
											UpperCamelCase_:				List[str]						=    getattr(snake_case_    ,						pre_tok_state.pop("""type"""   )   )
											UpperCamelCase_:				Union[str, Any]						=    add_prefix_space
											UpperCamelCase_:				Tuple						=    pre_tok_class(**snake_case_   )

							UpperCamelCase_:				Optional[Any]						=    add_prefix_space

			def    lowerCAmelCase__						(							self			:							Any    ,						*snake_case_			:							str    ,						**snake_case_			:							Optional[Any]   ):
							UpperCamelCase_:				List[str]						=    kwargs.get("""is_split_into_words"""    ,						snake_case_   )
							if not (self.add_prefix_space or not is_split_into_words):
											raise Exception(
											    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
											    """ pretokenized inputs."""   )

							return super()._batch_encode_plus(*snake_case_    ,						**snake_case_   )

			def    lowerCAmelCase__						(							self			:							Optional[Any]    ,						*snake_case_			:							Tuple    ,						**snake_case_			:							List[Any]   ):
							UpperCamelCase_:				int						=    kwargs.get("""is_split_into_words"""    ,						snake_case_   )

							if not (self.add_prefix_space or not is_split_into_words):
											raise Exception(
											    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
											    """ pretokenized inputs."""   )

							return super()._encode_plus(*snake_case_    ,						**snake_case_   )

			def    lowerCAmelCase__						(							self			:							int    ,						snake_case_			:							str    ,						snake_case_			:							Optional[str] = None   ):
							UpperCamelCase_:				str						=    self._tokenizer.model.save(snake_case_    ,						name=snake_case_   )
							return tuple(snake_case_   )




			def    lowerCAmelCase__						(							self			:							List[Any]    ,						snake_case_			:							"Conversation"   ):
							UpperCamelCase_:				Optional[Any]						=    []
							for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(snake_case_    ,						add_special_tokens=snake_case_   ) + [self.eos_token_id]   )

							if len(snake_case_   ) > self.model_max_length:
											UpperCamelCase_:				Tuple						=    input_ids[-self.model_max_length :]
							return input_ids








from __future__ import annotations

import time

lowerCamelCase_    :			Union[str, Any]    =	list[tuple[int, int]]

lowerCamelCase_    :			str    =	[
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

lowerCamelCase_    :			Dict    =	[[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

class 							_UpperCamelCase					:






			'''simple docstring'''

			def __init__(							self			:							Dict    ,						snake_case_			:							int    ,						snake_case_			:							int    ,						snake_case_			:							int    ,						snake_case_			:							int    ,						snake_case_			:							Node | None   ):
							UpperCamelCase_:				str						=    pos_x
							UpperCamelCase_:				List[str]						=    pos_y
							UpperCamelCase_:				str						=    (pos_y, pos_x)
							UpperCamelCase_:				Any						=    goal_x
							UpperCamelCase_:				Optional[int]						=    goal_y
							UpperCamelCase_:				Union[str, Any]						=    parent




class 							_UpperCamelCase					:






			'''simple docstring'''

			def __init__(							self			:							str    ,						snake_case_			:							tuple[int, int]    ,						snake_case_			:							tuple[int, int]   ):
							UpperCamelCase_:				Optional[Any]						=    Node(start[1]    ,						start[0]    ,						goal[1]    ,						goal[0]    ,						snake_case_   )
							UpperCamelCase_:				List[str]						=    Node(goal[1]    ,						goal[0]    ,						goal[1]    ,						goal[0]    ,						snake_case_   )

							UpperCamelCase_:				Any						=    [self.start]
							UpperCamelCase_:				Dict						=    False

			def    lowerCAmelCase__						(							self			:							str   ):
							while self.node_queue:
											UpperCamelCase_:				int						=    self.node_queue.pop(0   )

											if current_node.pos == self.target.pos:
															UpperCamelCase_:				List[str]						=    True
															return self.retrace_path(snake_case_   )

											UpperCamelCase_:				List[str]						=    self.get_successors(snake_case_   )

											for node in successors:
															self.node_queue.append(snake_case_   )

							if not self.reached:
											return [self.start.pos]
							return None

			def    lowerCAmelCase__						(							self			:							Dict    ,						snake_case_			:							Node   ):
							UpperCamelCase_:				int						=    []
							for action in delta:
											UpperCamelCase_:				Union[str, Any]						=    parent.pos_x + action[1]
											UpperCamelCase_:				str						=    parent.pos_y + action[0]
											if not (0 <= pos_x <= len(grid[0]   ) - 1 and 0 <= pos_y <= len(snake_case_   ) - 1):
															continue

											if grid[pos_y][pos_x] != 0:
															continue

											successors.append(
											    Node(snake_case_    ,						snake_case_    ,						self.target.pos_y    ,						self.target.pos_x    ,						snake_case_   )   )
							return successors




			def    lowerCAmelCase__						(							self			:							int    ,						snake_case_			:							Node | None   ):
							UpperCamelCase_:				int						=    node
							UpperCamelCase_:				Tuple						=    []
							while current_node is not None:
											path.append((current_node.pos_y, current_node.pos_x)   )
											UpperCamelCase_:				List[Any]						=    current_node.parent
							path.reverse()
							return path




class 							_UpperCamelCase					:






			'''simple docstring'''

			def __init__(							self			:							Optional[Any]    ,						snake_case_			:							Optional[Any]    ,						snake_case_			:							Optional[Any]   ):
							UpperCamelCase_:				Tuple						=    BreadthFirstSearch(snake_case_    ,						snake_case_   )
							UpperCamelCase_:				Dict						=    BreadthFirstSearch(snake_case_    ,						snake_case_   )
							UpperCamelCase_:				int						=    False

			def    lowerCAmelCase__						(							self			:							int   ):
							while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
											UpperCamelCase_:				List[Any]						=    self.fwd_bfs.node_queue.pop(0   )
											UpperCamelCase_:				Optional[Any]						=    self.bwd_bfs.node_queue.pop(0   )

											if current_bwd_node.pos == current_fwd_node.pos:
															UpperCamelCase_:				List[Any]						=    True
															return self.retrace_bidirectional_path(
															    snake_case_    ,						snake_case_   )

											UpperCamelCase_:				Optional[Any]						=    current_bwd_node
											UpperCamelCase_:				List[Any]						=    current_fwd_node

											UpperCamelCase_:				List[str]						=    {
											    self.fwd_bfs: self.fwd_bfs.get_successors(snake_case_   ),
											    self.bwd_bfs: self.bwd_bfs.get_successors(snake_case_   ),
											}

											for bfs in [self.fwd_bfs, self.bwd_bfs]:
															for node in successors[bfs]:
																			bfs.node_queue.append(snake_case_   )

							if not self.reached:
											return [self.fwd_bfs.start.pos]
							return None




			def    lowerCAmelCase__						(							self			:							List[str]    ,						snake_case_			:							Node    ,						snake_case_			:							Node   ):
							UpperCamelCase_:				List[str]						=    self.fwd_bfs.retrace_path(snake_case_   )
							UpperCamelCase_:				Tuple						=    self.bwd_bfs.retrace_path(snake_case_   )
							bwd_path.pop()
							bwd_path.reverse()
							UpperCamelCase_:				List[str]						=    fwd_path + bwd_path
							return path


if __name__ == "__main__":
							# all coordinates are given in format [y,x]
							import doctest

							doctest.testmod()
							lowerCamelCase_    :			Tuple    =	(0, 0)
							lowerCamelCase_    :			Union[str, Any]    =	(len(grid) - 1, len(grid[0]) - 1)
							for elem in grid:
														print(elem)

							lowerCamelCase_    :			Optional[int]    =	time.time()
							lowerCamelCase_    :			Tuple    =	BreadthFirstSearch(init, goal)
							lowerCamelCase_    :			List[str]    =	bfs.search()
							lowerCamelCase_    :			Optional[int]    =	time.time() - start_bfs_time

							print("""Unidirectional BFS computation time : """, bfs_time)

							lowerCamelCase_    :			Optional[int]    =	time.time()
							lowerCamelCase_    :			Optional[int]    =	BidirectionalBreadthFirstSearch(init, goal)
							lowerCamelCase_    :			str    =	bd_bfs.search()
							lowerCamelCase_    :			Tuple    =	time.time() - start_bd_bfs_time

							print("""Bidirectional BFS computation time : """, bd_bfs_time)






